{"id":"W4400478232","doi":"10.1016/j.ijfatigue.2024.108485","title":"Fatigue life prediction at mesoscopic scale of samples containing casting defects: A novel energy based non-local model","year":2024,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Mesoscopic physics; Materials science; Casting; Superalloy; Finite element method; Void (composites); Porosity; Scale (ratio); Stress concentration; Stress (linguistics); Structural engineering; Mechanics; Composite material; Alloy; Fracture mechanics; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002615862,0.0001861336,0.0002801086,0.0003990734,0.00003597914,0.00005579887,0.0002844528,0.0001165422,0.00004101381],"category_scores_gemma":[0.0001203953,0.0001721416,0.0001876825,0.0001519085,0.00003561595,0.0002969705,0.00003971824,0.0002682828,0.000001447779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755539,"about_ca_system_score_gemma":0.0001683691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005186658,"about_ca_topic_score_gemma":0.0000320995,"domain_scores_codex":[0.9983711,0.0000185531,0.0007167435,0.0001402265,0.0005762405,0.0001771187],"domain_scores_gemma":[0.9990341,0.0002356803,0.0001842653,0.0001021529,0.0003227209,0.0001210565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005705681,0.00003985695,0.000728965,0.0001092138,0.000318538,0.00003424366,0.0006859954,0.9433442,0.04731705,0.0007688008,0.0006450137,0.005951107],"study_design_scores_gemma":[0.0006543243,0.0001054047,0.0002798007,0.001038385,0.00004861557,0.00005744157,0.0001608877,0.965492,0.03134548,0.0002172953,0.0004704319,0.0001299384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1391762,0.0007366229,0.8578146,0.0001010646,0.001596777,0.00004339447,0.0000919073,0.00005381575,0.0003856195],"genre_scores_gemma":[0.9883623,0.00005548205,0.01102906,0.0001024729,0.0003559009,0.000005575943,0.00003234316,0.00004063983,0.00001619437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8491861,"threshold_uncertainty_score":0.7019733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464935958877718,"score_gpt":0.2633987097157125,"score_spread":0.2287493501269353,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}